Understanding Short-Term Rental Data Sources - A Variety of Second-Best Solutions
Paper
Pawlicz, Adam and Prentice, Catherine. 2021. "Understanding Short-Term Rental Data Sources - A Variety of Second-Best Solutions." Buhalis, Dimitrios, Ekiz, Erdogan, Gracan, Daniela, Ivanov, Stanislav, Kesar, Oliver, Nizic, Marinela Krstinic, Mihalic, Tanja and Rakic, Tijana (ed.) 6th International Scientific Conference: ToSEE - Tourism in Southern and Eastern Europe (2021). Opatija, Croatia 30 Jun - 02 Jul 2021 Opatija, Croatia.
| Paper/Presentation Title | Understanding Short-Term Rental Data Sources - A Variety of Second-Best Solutions |
|---|---|
| Presentation Type | Paper |
| Authors | Pawlicz, Adam (Author) and Prentice, Catherine (Author) |
| Editors | Buhalis, Dimitrios, Ekiz, Erdogan, Gracan, Daniela, Ivanov, Stanislav, Kesar, Oliver, Nizic, Marinela Krstinic, Mihalic, Tanja and Rakic, Tijana |
| Journal or Proceedings Title | Proceedings of the 6th International Scientific Conference: ToSEE - Tourism in Southern and Eastern Europe (2021) |
| Journal Citation | 6, pp. 573-585 |
| Number of Pages | 13 |
| Year | 2021 |
| Place of Publication | Opatija, Croatia |
| Web Address (URL) of Paper | https://tosee.fthm.hr/index.php/conference-proceedings/category/11-tourism-in-southern-and-eastern-europe-2021-conference-proceedings |
| Conference/Event | 6th International Scientific Conference: ToSEE - Tourism in Southern and Eastern Europe (2021) |
| Event Details | 6th International Scientific Conference: ToSEE - Tourism in Southern and Eastern Europe (2021) Event Date 30 Jun 2021 to end of 02 Jul 2021 Event Location Opatija, Croatia |
| Abstract | Purpose – This paper aims to identify major supply data sources for short-term rental market research and to provide their advantages and limitations. Methodology – In the paper a grounded approach was used based on a literature review. This review comprised two steps with the first being the query in major databases that was supplemented by academic search engine that resulted in 170 articles. The second step was to investigate the papers’ methodological sections to identify characteristics and limitations of all data sources. Findings – This study identifies three major data sources for the short-term rental market: web scraping with the use of self-made bots, Inside Airbnb and Airdna. A majority (e.g. 74% of papers using Airdna as a source) did not mention any limitations and provide no discussion about the data source, while the remainder gave only superfluous information about possible limitations of its use. Their characteristics and limitations are extensively discussed using a proposed framework that consists of three levels: intermediary, web scraping, and source-specific. Contribution – Very limited number of studies have focused on the short-term rental data sources and this is the first one that discusses advantages and limitation of their use. This paper may be of help to academics or professionals in identifying the right source of data to suit their technical knowledge, financial and technical resources and research areas. |
| Keywords | Airbnb, short-term rental market, web scraping, Airdna, Inside Airbnb |
| ANZSRC Field of Research 2020 | 350799. Strategy, management and organisational behaviour not elsewhere classified |
| 350699. Marketing not elsewhere classified | |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | University of Szczecin, Poland |
| Griffith University | |
| Institution of Origin | University of Southern Queensland |
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https://research.usq.edu.au/item/q781z/understanding-short-term-rental-data-sources-a-variety-of-second-best-solutions
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